首页> 外文会议>Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on >A feature-based CAD representation enabling case-based planning across multiple manufacturing applications
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A feature-based CAD representation enabling case-based planning across multiple manufacturing applications

机译:基于功能的CAD表示实现了跨多个制造应用程序的基于案例的计划

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Human programmers integrate knowledge about the designed part when programming a robot or a vision system. A human is required to reason about the relationship between the designed part geometry and the particular application requirements. The OOPAC representation provides the ability to plan different applications using the same part design. The representation provides an extendibility not found in current feature-based planning system where macros incorporate the definition of feature geometry and application-specific information. The OOPAC representation enables the automated OOPAC planning system to reason about relationships between multiple constraints imposed by process parameters, workspace environment, part design, and available tools, sensors, and machines (robots). This paper primarily focused on the relationship between application plans and part design. The OOPAC KB representation facilitates the capability of the OOPAC planning system to reason about constraints imposed on the application specification by various levels of abstraction in the feature geometry (part, feature, feature face, edge, vertex).
机译:当对机器人或视觉系统进行编程时,人类程序员会集成有关设计零件的知识。要求人们对设计零件的几何形状与特定应用需求之间的关系进行推理。 OOPAC表示法提供了使用相同零件设计来计划不同应用程序的能力。该表示提供了在当前的基于特征的计划系统中找不到的可扩展性,在该系统中,宏结合了特征几何的定义和特定于应用程序的信息。 OOPAC表示使自动化OOPAC规划系统能够推理过程参数,工作空间环境,零件设计以及可用的工具,传感器和机器(机器人)所施加的多个约束之间的关系。本文主要关注应用计划与零件设计之间的关系。 OOPAC KB表示法增强了OOPAC计划系统的功能,以推理要素几何中各个抽象水平(零件,要素,要素面,边,顶点)对应用程序规范施加的约束。

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